Abstract: A system and method for detecting a phase-to-ground fault in an AC electrical machine operates to receive measurements of three-phase voltages and currents provided to the AC electrical machine, compute at least one of a zero sequence component and a negative sequence component of voltage and current from the three-phase voltages and currents, and calculate a fault severity index (FSI) based on the zero or negative sequence component of voltage and current, so as to identify a phase-to-ground fault in the AC electrical machine. Calculating the FSI further includes determining a total value of the zero or negative sequence current, determining a noise-contributed value of the zero or negative sequence current included in the total value, determining a compensated value of the zero or negative sequence current based on the total value and the noise-contributed value, and calculating the FSI based on the compensated value.

Abstract: The present disclosure relates to diagnosing a fault in an electric drive of a process plant. The fault diagnosis method includes receiving fault data from an electric drive upon occurrence of the fault. The method further includes obtaining a fault code and a drive type associated with the electric drive from the fault data. In addition, the method comprises determining one or more drive parts to replace by comparing the fault code and the drive type with a mapped data for a plurality of drive types. The mapped data for each drive type includes a relation between a plurality of fault codes and a plurality of drive parts. The method further includes initiating a maintenance operation involving replacement of the one or more drive parts to address the fault.

Abstract: One illustrative method comprises retrieving a set of drive information associated with an operation of an electric drive in a time period from a drive control unit and one or more sensor units. The method further includes obtaining reliability information associated with the electric drive from a server. The reliability information is computed in the server, with the set of drive information and a model corresponding to a drive type of the electric drive. The reliability information includes a probability of occurrence of the abnormal condition in a specified future time period. The method further includes, providing at least one condition indication regarding the abnormal condition to one of a human machine interface and a drive controller based on the probability of occurrence of the abnormal condition.

Abstract: A system and method for detecting a phase-to-ground fault in an AC electrical machine operates to receive measurements of three-phase voltages and currents provided to the AC electrical machine, compute at least one of a zero sequence component and a negative sequence component of voltage and current from the three-phase voltages and currents, and calculate a fault severity index (FSI) based on the zero or negative sequence component of voltage and current, so as to identify a phase-to-ground fault in the AC electrical machine. Calculating the FSI further includes determining a total value of the zero or negative sequence current, determining a noise-contributed value of the zero or negative sequence current included in the total value, determining a compensated value of the zero or negative sequence current based on the total value and the noise-contributed value, and calculating the FSI based on the compensated value.

Abstract: A system and method for detecting a phase-to-ground fault in an AC electrical machine operates to receive measurements of three-phase voltages and currents provided to the AC electrical machine, compute at least one of a zero sequence component and a negative sequence component of voltage and current from the three-phase voltages and currents, and calculate a fault severity index (FSI) based on the zero or negative sequence component of voltage and current, so as to identify a phase-to-ground fault in the AC electrical machine. Calculating the FSI further includes determining a total value of the zero or negative sequence current, determining a noise-contributed value of the zero or negative sequence current included in the total value, determining a compensated value of the zero or negative sequence current based on the total value and the noise-contributed value, and calculating the FSI based on the compensated value.

Abstract: A diagnostic system configured to detect a stator winding fault in an electrical machine comprising a plurality of stator windings is provided. The diagnostic system includes a processor programmed to receive measurements of three-phase voltages and currents provided to the electrical machine, compute positive, negative, and zero sequence components of voltage and current from the three-phase voltages and currents, and identify a noise factor contribution and a stator fault contribution to the negative sequence voltage by performing a two-step initialization algorithm comprising a modified recursive least square (RLS) method, the noise factor contribution comprising unbalance in the electrical machine resulting from one or more of positive sequence current, negative sequence current, and positive sequence voltage. The processor is still further programmed to detect a stator fault in the electrical machine based on the stator fault contribution to the negative sequence voltage.

Abstract: One illustrative method comprises retrieving a set of drive information associated with an operation of an electric drive in a time period from a drive control unit and one or more sensor units. The method further includes obtaining reliability information associated with the electric drive from a server. The reliability information is computed in the server, with the set of drive information and a model corresponding to a drive type of the electric drive. The reliability information includes a probability of occurrence of the abnormal condition in a specified future time period. The method further includes, providing at least one condition indication regarding the abnormal condition to one of a human machine interface and a drive controller based on the probability of occurrence of the abnormal condition.

Abstract: The present disclosure relates to diagnosing a fault in an electric drive of a process plant. The fault diagnosis method includes receiving fault data from an electric drive upon occurrence of the fault. The method further includes obtaining a fault code and a drive type associated with the electric drive from the fault data. In addition, the method comprises determining one or more drive parts to replace by comparing the fault code and the drive type with a mapped data for a plurality of drive types. The mapped data for each drive type includes a relation between a plurality of fault codes and a plurality of drive parts. The method further includes initiating a maintenance operation involving replacement of the one or more drive parts to address the fault.

Abstract: A diagnostic system configured to detect a stator winding fault in an electrical machine comprising a plurality of stator windings is provided. The diagnostic system includes a processor programmed to receive measurements of three-phase voltages and currents provided to the electrical machine, compute positive, negative, and zero sequence components of voltage and current from the three-phase voltages and currents, and identify a noise factor contribution and a stator fault contribution to the negative sequence voltage by performing a two-step initialization algorithm comprising a modified recursive least square (RLS) method, the noise factor contribution comprising unbalance in the electrical machine resulting from one or more of positive sequence current, negative sequence current, and positive sequence voltage. The processor is still further programmed to detect a stator fault in the electrical machine based on the stator fault contribution to the negative sequence voltage.

Abstract: A system and method for detecting a phase-to-ground fault in an AC electrical machine operates to receive measurements of three-phase voltages and currents provided to the AC electrical machine, compute at least one of a zero sequence component and a negative sequence component of voltage and current from the three-phase voltages and currents, and calculate a fault severity index (F SI) based on the zero or negative sequence component of voltage and current, so as to identify a phase-to-ground fault in the AC electrical machine. Calculating the FSI further includes determining a total value of the zero or negative sequence current, determining a noise-contributed value of the zero or negative sequence current included in the total value, determining a compensated value of the zero or negative sequence current based on the total value and the noise-contributed value, and calculating the FSI based on the compensated value.